Results 71 to 80 of about 12,223 (205)
A post‐translocation genetic analysis of an endemic wingless grasshopper in urban environments
Conservation Science and Practice, Volume 7, Issue 10, October 2025.Translocations are increasingly used in conservation, yet invertebrate outcomes remain understudied. This study assessed genetic diversity in a recently translocated flightless grasshopper (Vandiemenella viatica), finding declines in heterozygosity and nucleotide diversity, alongside increased homozygosity in the F2 generation.
Hiromi Yagui +3 more
wiley +1 more source
Co‐DeepNet: A Cooperative Convolutional Neural Network for DNA Methylation‐Based Age Prediction
CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1118-1134, August 2025.ABSTRACT Prediction of the age of each individual is possible using the changing pattern of DNA methylation with age. In this paper an age prediction approach to work out multivariate regression problems using DNA methylation data is developed. In this research study a convolutional neural network (CNN)‐based model optimised by the genetic algorithm ...
Najmeh Sadat Jaddi +6 more
wiley +1 more source
Finding Top- $k$ Dominance on Incomplete Big Data Using MapReduce Framework
IEEE Access, 2018 Incomplete data is one major kind of multi-dimensional dataset that has random-distributed missing nodes in its dimensions. It is very difficult to retrieve information from this type of dataset when it becomes large.
Payam Ezatpoor +3 more
doaj +1 more source
Journal of Oral Rehabilitation, Volume 52, Issue 8, Page 1193-1219, August 2025.ABSTRACT Background Artificial intelligence (AI) and various subunits of AI such as artificial neural networks (ANN), Convolutional neural networks (CNNs), machine learning (ML), deep learning (DL) and deep neural networks (DNN) are being tried to diagnose and plan treatment for periodontal diseases.
Rupanjan Roy +3 more
wiley +1 more source
Smart Healthcare: The Role of Digital Health in Modern Medicine
Health Care Science, Volume 4, Issue 3, Page 179-187, June 2025.Implementation of Digital Health. Innovations in Digital Health. Challenges in Digital Health. ABSTRACT Digital health is transforming healthcare by integrating advanced technologies to make healthcare more accessible, efficient, and personalized. From electronic health records, telemedicine, wearable devices, and artificial intelligence to the recent ...
Nidha Shapoo +3 more
wiley +1 more source
PROTEOMICS, Volume 25, Issue 11-12, June 2025.ABSTRACT The integration of big data into nephrology research will open new avenues for analyzing and understanding complex biological datasets, driving advances in personalized management of kidney diseases. This paper describes the multifaceted challenges and opportunities by incorporating big data in nephrology, emphasizing the importance of data ...
Riste Stojanov +12 more
wiley +1 more source
A privacy-preserving parallel and homomorphic encryption scheme
Open Physics, 2017 In order to protect data privacy whilst allowing efficient access to data in multi-nodes cloud environments, a parallel homomorphic encryption (PHE) scheme is proposed based on the additive homomorphism of the Paillier encryption algorithm. In this paper
Min Zhaoe, Yang Geng, Shi Jingqi
doaj +1 more source
MASSIVE SIMULATIONS USING MAPREDUCE MODEL
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2015 In the last few years cloud computing is growing as a dominant solution for large scale numerical problems. It is based on MapReduce programming model, which provides high scalability and flexibility, but also optimizes costs of computing infrastructure.
Artur Krupa, Bartosz Sawicki
doaj +1 more source
Large-scale Parallel Stratified Defeasible Reasoning [PDF]
, 2012 We are recently experiencing an unprecedented explosion of available data from the Web, sensors readings, scientific databases, government authorities and more.
Tachmazidis, Ilias +5 more
core +1 more source
MapReduce-Based D_ELT Framework to Address the Challenges of Geospatial Big Data
ISPRS International Journal of Geo-Information, 2019 The conventional extracting−transforming−loading (ETL) system is typically operated on a single machine not capable of handling huge volumes of geospatial big data.
Junghee Jo, Kang-Woo Lee
doaj +1 more source